Thomas Lento

About

Thomas Lento is a scholar working on Communication, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Thomas Lento has authored 5 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Communication, 3 papers in Statistical and Nonlinear Physics and 2 papers in Sociology and Political Science. Recurrent topics in Thomas Lento’s work include Social Media and Politics (4 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). Thomas Lento is often cited by papers focused on Social Media and Politics (4 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). Thomas Lento collaborates with scholars based in United States, Israel and United Kingdom. Thomas Lento's co-authors include Cameron Marlow, Moira Burke, Itamar Rosenn, Eric Sun, Jon Kleinberg, Lars Bäckström, Eytan Bakshy, Lilian Weng, Paul Johns and Marc A. Smith and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), Proceedings of the International AAAI Conference on Web and Social Media and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Thomas Lento i

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Fields of papers citing papers by Thomas Lento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Lento. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Lento. The network helps show where Thomas Lento may publish in the future.

Countries citing papers authored by Thomas Lento

Since Specialization

Citations

This map shows the geographic impact of Thomas Lento's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Lento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lento more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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